DoubleVerify Reports Surge in Fraud Schemes, Highlights Role of AI in Digital Ad Fraud | Martech Edge | Best News on Marketing and Technology
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DoubleVerify Reports Surge in Fraud Schemes, Highlights Role of AI in Digital Ad Fraud

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DoubleVerify Reports Surge in Fraud Schemes, Highlights Role of AI in Digital Ad Fraud

DoubleVerify Reports Surge in Fraud Schemes, Highlights Role of AI in Digital Ad Fraud

Business Wire

Published on : Jun 19, 2024

DV Fraud Lab found an over 20% surge in new fraud schemes including an almost 60% increase in audio and video streaming fraud schemes and variants

  • Overview of the Report: DoubleVerify ("DV"), a leading digital media measurement platform, previews findings from its eighth annual Global Insights Report.
  • Scope of the Study: Analyzes media quality and performance trends across over one trillion impressions from more than 2,000 brands in 100 markets.

1. Key Findings

  • Increase in Fraud Schemes:
    • 23% surge in new fraud schemes and variants in 2023.
    • Unprotected advertisers experienced a fraud/SIVT violation rate as high as 17%.
  • Types of Violations:
    • Bot fraud, site fraud, app fraud, hijacked devices, nonhuman data center traffic, and injected ad events.
  • Impact of Generative AI:
    • AI facilitates the falsification of data patterns, making fraud more sophisticated and harder to detect.

2. AI’s Role in Fraud

  • Bot Fraud:
    • Targets streaming environments like CTV and audio.
    • AI generates thousands of authentic-looking user agents to simulate real user interactions.
  • Evolution of Schemes:
    • Average bot fraud schemes targeting streaming platforms saw 269% more variants in 2023.
    • 58% increase in streaming fraud schemes and variants.
  • Deceptive Tactics:
    • AI simplifies the creation of new websites for shell companies and apps with fake reviews.
    • Mobile app fraud investigations doubled due to AI-enabled falsification.

3. Combating Fraud with AI

  • Good AI vs. Bad AI:
    • DV leverages AI to process vast data daily and assess impression quality.
    • Machine learning identifies trends and patterns that human analysts might miss.
  • Statements from Experts:
    • Roy Rosenfeld, Head of the DV Fraud Lab, emphasizes the necessity of using AI to counteract sophisticated fraud schemes.

4. Methodology

  • Data Analysis:
    • The report uses DV technology to analyze over one trillion impressions from 2,000 brands in 100 markets.
    • Covers video and display impressions across desktop, mobile web, mobile app, and CTV.
  • Survey Insights:
    • Includes a global survey by Sapio, polling 1,000 advertisers across North America, LATAM, EMEA, and APAC.
  • Importance of Vigilance:
    • The rise in sophisticated fraud schemes underscores the need for advanced AI tools to protect digital advertising.
    • As fraudsters evolve, the industry must continue to innovate and implement robust fraud prevention measures.
  • Future Outlook:
    • Ongoing advancements in AI will play a critical role in maintaining the integrity of digital media and protecting advertisers from fraud.
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